Machine Learning Engineer with Python and GCP

Client is looking for a Machine Learning Engineer focused on building and driving the strategy forward for our internal Data Science / AI/ML platform. This role will work in a small crossfunctional team. The position will collaborate directly and continuously with other engineers business partners product managers and designers and will release early and often. The team you will be working on is focused on building Mach1ML platform an AI/ML enablement platform to democratize Machine Learning across Ford enterprise (similar to Ubers Michelangelo Facebooks FBLearner etc).

Position Responsibilities
Work closely with Tech Anchor Product Manager and Product Owner to deliver MLOPs platform and Gen AI solution in GCP using Python and other tools for the data scientists and business across the company.
Work with software and ML engineers/Data Scientist to tackle challenging AIOps problems.
Maintain and mange current CI/CD ecosystem and tools
Find ways to automate and continually improve current CI/CD processes and release processes
Examine inspect codes / scripts and resolve issues
Help innovate standardize machine learning development practices.
Experiment innovate and share knowledge with the team.
Lead by example in use of Paired Programming for cross training/upskilling problem solving and speed to delivery.
Leverage latest ML/Gen AI / GCP/AIOPs/Kubernetes technologies

Skills Required:
A Bachelors degree in Computer Science / Computer Engineering or similar technical discipline.
2 years of experience with Cloud Engineering / Services
3 years of work experience as a backend software engineer in Python with exceptional software engineering knowledge.
Experience with ML workflow orchestration tools: Airflow Kubeflow etc.
Advanced working knowledge of objectoriented/object function programming languages: Python C/C Julia
Experience in DevOps: Jenkins/Tekton etc.
Experience with cloud services preferably GCP Services like Vertex AI Cloud Function BigQuery etc.
Experience in container management solution: Kubernetes Docker
Experience in scripting language: Bash PowerShell etc.
Experience with Infrastructure as code: Terraform etc

Skills Preferred:
Master focused in Computer Science / Machine Learning or related field
Experience working with Google Cloud platform(GCP) specifically Google Kubernetes engine Terraform and infrastructure
Experience in delivering cloud engineering product
Experience in programming concepts such as Paired Programming Test Driven Development etc.
Understanding of MLOPs/Machine Learning Life Cycle and common machine learning frameworks: sklearn tensorflow pytorch etc. is a big plus
Must be a quick learner and open to learning new technology.
Experience applying agile practices to solution delivery.
Experience in all phases of the development lifecycle.
Must be teamoriented and have excellent oral and written communication skills.
Good organizational and timemanagement skills.
Must be a selfstarter to understand existing bottlenecks and come up with innovative solutions.
Knowledge of coding and software craftsmanship practices.

Experience Preferred:
Experience and good understanding of GCP processing /DevOPs/ Machine Learning

Education Required:
A Bachelors degree in Computer Science / Computer Engineering or similar technical discipline.

Education Preferred:

Additional Safety Training/Licensing/Personal Protection Requirements:

Additional Information :
Google Cloud Platform Engineer test required. Hybrid Position